(Consumer Intelligence, Semantic AI, Multi-Agent AI & Marketing Intelligence Platform)

About the Project

We are building a next-generation AI-powered Consumer Intelligence & Marketing Automation Platform capable of collecting, processing and analysing millions of customer reviews, discussions, advertisements and public conversations from multiple online platforms including Amazon, Etsy, eBay, Reddit, YouTube, TikTok, Instagram, Pinterest, Trustpilot, Facebook and other public sources.

The objective is to automatically identify:

- Customer complaints
- Hidden pain points
- Product deficiencies
- Feature requests
- Consumer emotions
- Buying triggers
- Product innovation opportunities
- Market gaps
- Competitor weaknesses
- Advertising opportunities
- Marketing strategies
- AI-generated campaign recommendations

The platform is intended to operate at enterprise scale using contemporary AI architecture, semantic intelligence and multi-agent workflows.

Position

Freelance AI/LLM Architect & Enterprise AI Systems Engineer

We are looking for an experienced professional who can design the complete AI reasoning architecture of the platform rather than simply integrate existing APIs.

Nature of Engagement

- Freelance / Independent Consultant
- Remote
- Flexible working hours
- Long-term engagement preferred

We are particularly interested in professionals who are willing to work on a Profit-Sharing / Equity-Linked / Success-Based engagement model. Fixed-cost proposals are also welcome, provided they are reasonable and affordable for an early-stage product.

Primary Responsibilities The selected professional will be expected to:

- Design the overall AI architecture.
- Design a scalable multi-agent AI workflow.
- Recommend the most economical AI processing pipeline.
- Design enterprise-grade semantic review intelligence architecture.
- Reduce LLM dependency wherever technically possible.
- Design cost-optimised inference workflows.
- Recommend suitable open-weight language models.
- Recommend embedding models.
- Design semantic clustering workflows.
- Design hierarchical summarisation pipelines.




- Design retrieval pipelines.
- Recommend preprocessing techniques before LLM inference.
- Design complaint classification architecture.
- Design sentiment and emotion analysis workflow.
- Design opportunity discovery engine.
- Design AI-assisted marketing strategy generation.
- Design AI-assisted advertising generation.
- Recommend deployment architecture (Cloud / Hybrid / Local).
- Recommend GPU and infrastructure requirements.
- Recommend cost optimisation strategies.
- Work closely with our software development team during implementation.

Required Technical Expertise Applicants should have strong practical experience in several of the following areas:

- Artificial Intelligence
- Machine Learning
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Semantic Search
- Embedding Models
- Vector Databases
- Retrieval-Augmented Generation (RAG)
- Semantic Clustering
- Topic Modelling
- TF-IDF
- Keyword Extraction
- Hierarchical Summarisation
- Map-Reduce Summarisation
- Statistical Text Processing
- Prompt Engineering
- AI Agent Architectures
- Multi-Agent Systems
- Python
- Pandas
- spaCy
- NLTK
- LangChain, LangGraph or similar orchestration frameworks
- LlamaIndex or equivalent retrieval frameworks
- Distributed AI workflows
- GPU optimisation
- Cost optimisation for AI inference
- Enterprise AI system architecture

Experience with open-weight models such as Llama, Qwen, DeepSeek, Mistral, Gemma or similar models will be an added advantage.

Desired Experience

Applicants should ideally have experience in one or more of the following:

- Consumer Intelligence Platforms
- Voice of Customer (VoC) Systems
- Review Intelligence Platforms
- Social Listening Platforms




- Marketing Intelligence Systems
- Product Intelligence Platforms
- AI-powered Analytics Platforms
- Enterprise Search Systems
- Knowledge Management Systems
- AI-based Business Intelligence Platforms

Our Technical Objective Instead of sending millions of reviews directly to expensive frontier LLMs, we intend to build a highly optimised enterprise pipeline that combines:

- Traditional Data Engineering
- Data Cleaning & Normalisation
- Semantic Embeddings
- Semantic Clustering
- Representative Sampling
- Hierarchical Summarisation
- Topic Modelling
- Statistical Aggregation
- Retrieval Pipelines
- Smaller Open-Weight Models (where appropriate)
- Frontier LLMs only for high-value reasoning tasks

The successful candidate should be capable of designing such an architecture in a technically sound, scalable and commercially viable manner. We Are Looking For Someone Who Can

- Think beyond API integration.
- Design original AI system architecture.
- Minimise LLM operational cost.
- Reduce token consumption intelligently.
- Build scalable enterprise AI workflows.
- Recommend practical rather than theoretical solutions.
- Balance performance, scalability and affordability.

Compensation We are an early-stage venture and are therefore looking for professionals who appreciate long-term value creation.

Our preferred engagement models are:

- Profit Sharing
- Revenue Sharing
- Equity Participation (where mutually appropriate)
- Milestone-Based Consulting
- Affordable Fixed Professional Fees

We are particularly interested in working with professionals who believe in building long-term partnerships rather than charging only high upfront consulting fees.

How to Apply

Please share

- Updated Resume/CV
- LinkedIn Profile
- Portfolio
- GitHub (if available)
- Relevant AI projects
- Enterprise AI architecture experience
- Open-source contributions (if any)
- Research papers (if any)
- Details of similar AI systems designed or implemented
- Preferred engagement model
- Expected commercial terms
- Availability

📌 FREELANCE REQUIREMENT – AI/LLM ARCHITECT & ENTERPRISE AI SYSTEMS ENGINEER (Kolkata)
🏢 Outthinc Global Communications
📍 Kolkata